Note: Includes bibliographical references

Note: Intro -- Preface -- Key Aims and Themes -- Uniqueness and Subject Treatment -- Originality and Value -- Intended Readership -- Perspectives and Prospects -- Contents -- About the Author -- 1 The Evolving Data-Driven Approach to Smart Sustainable Urbanism for Tackling the Conundrums of Sustainability and Urbanization -- Abstract -- 1 Introduction and Background -- 2 The Aim of the Book -- 3 The Structure and Content of the Book -- 4 The Organization and Design Purposes of the Book -- References -- 2 The Leading Smart Sustainable Paradigm of Urbanism and Big Data Computing: A Topical Literature Review -- Abstract -- 1 Introduction -- 2 Foundational Components and Assumptions -- 2.1 Smart Sustainable Cities: Characterization, Leading Position, and Prospects -- 2.2 Big Data Computing in the Ambit of Smart Sustainable Urbanism -- 2.2.1 Characterization and Prospects -- 2.2.2 Data Growth Projection and Related Driving Technologies -- 2.2.3 Datafication: Urban Data Deluge and Its Sources and Enabling Capabilities -- 2.2.4 The Core Enabling Technologies of Big Data Analytics and ICT of Pervasive Computing -- 2.2.5 Big Data Ecosystem and Its Components -- 3 On the Research and Its Status of Big Data Analytics and Smart Sustainable Cities -- 4 A State-of-the-Art Review of Smart Sustainable Cities and Related Big Data Analytics and Its Application -- 4.1 Smart Sustainable Cities -- 4.1.1 The Key Underlying and Driving Forces for Smart Sustainable City Development -- 4.1.2 Research Gaps -- 4.1.3 Evaluation/Assessment Gaps and Challenges -- 4.1.4 Key Scientific and Intellectual Challenges -- 4.2 Big Data Analytics and Its Application -- 4.2.1 Big Data Applications for Multiple Urban Domains or Sub-Domains -- 4.2.2 Research Problems, Challenges, and Open Issues -- 5 Discussion and Conclusion -- References. , 3 The Theoretical and Disciplinary Underpinnings of Data-Driven Smart Sustainable Urbanism: An Interdisciplinary and Transdisciplinary Perspective -- Abstract -- 1 Introduction -- 2 Concepts, Theories, and Academic Discourses -- 2.1 Big Data Computing -- 2.2 Big Data Concept, Analytics, Technology, and Application -- 2.3 Urban Sustainability -- 2.4 Sustainable Urban Development -- 2.5 Urbanism and Sustainable Urbanism -- 2.6 Ecological Urbanism -- 2.7 Strategic Smart Sustainable Urbanism -- 2.7.1 The City Planning Component of Urbanism -- 2.7.2 The City Design Component of Urbanism -- 2.7.3 The City Development Component of Urbanism -- 2.8 Smart Sustainable/Sustainable Smart Cities: A Leading Paradigm of Urbanism -- 3 Academic and Scientific Disciplines -- 3.1 Urban Planning and Design -- 3.2 Computer Science -- 3.3 Data Science -- 3.4 Urban Informatics -- 3.5 Urban Science -- 3.6 Systems Thinking -- 3.7 Complexity Science and Complex Systems -- 3.8 Systems Science and Theory -- 3.9 Sustainability Science -- 3.10 Scientifically Oriented Sustainable Development -- 4 Discussion and Conclusion -- References -- 4 Sustainable, Smart, and Data-Driven Approaches to Urbanism and their Integrative Aspects: A Qualitative Analysis of Long-Lasting Trends -- Abstract -- 1 Introduction -- 2 Conceptual Definition and Analytical Approach -- 3 On Futures Studies -- 4 Backcasting Approaches to Future Studies and Urban Sustainability -- 5 Key Prevailing and Emerging Trends and Relevant Expected Developments -- 5.1 Sustainable Cities -- 5.2 Smart Cities -- 5.3 Smarter Cities -- 5.4 Sustainable Smart Cities -- 5.5 Smart Sustainable Cities -- 5.6 Big Data Computing/Analytics -- 5.6.1 Characteristics, Concepts, and Prospects -- 5.6.2 Research Status of Big Data Analytics as an Enticing Investigation Area -- 5.6.3 Data Growth Projection and Related Core Driving Technologies. , 5.6.4 The Enabling Capabilities of the Deluge of Urban Data -- 5.7 Data-Intensive Scientific Development and Smart Sustainable Urbanism -- 5.8 The Key External Forces Affecting the Combination of the Trends: The Role of Political Action in Smart Sustainable/Sustainable Smart Cities -- 6 Discussion and Conclusion -- References -- 5 The Underlying Technological, Scientific, and Structural Dimensions of Data-Driven Smart Sustainable Cities and Their Socio-Political Shaping Factors and Issues -- Abstract -- 1 Introduction -- 2 Conceptual Definitions -- 2.1 Data-Driven Smart Sustainable Cities -- 2.2 Datafication -- 2.3 Big Data Computing -- 3 A Survey of Related Work -- 4 What Lies at the Heart of the Data-Driven Smart Sustainable City -- 4.1 On the Evolving Integration of Data-Driven Smart Cities and Sustainable Cities -- 4.2 Digital Instrumentation -- 4.3 Big Data Ecosystem and Its Components -- 4.4 Cloud Computing for Big Data Analytics -- 4.4.1 Characteristics and Benefits -- 4.4.2 Elements of Big Data -- 4.4.3 Fog and Edge Computing -- Fog Computing Versus Cloud Computing -- Fog and Edge Computing for the IoT -- Fog and Edge Computing: Commonalities and Differences -- 4.5 Urban Operating Centers and Strategic Planning and Policy Offices -- 4.6 Living Laboratories -- 4.7 Innovations Laboratories -- 4.8 Urban Intelligence Functions -- 4.9 Public, Private, and Open Data and Their Analysis -- 4.10 Data-Driven Urbanism, Urban Science, and Data-Intensive Science -- 5 Key Practical and Analytical Applications of Big Data Technology for Urban Systems and Domains -- 6 A Novel Architecture and Typology of Data-Driven Smart Sustainable Cities -- 6.1 Specialized Constituents for Making up a Whole -- 6.2 Typological Dimensions and Functions -- 7 Socio-Political Shaping Factors -- 8 Recasting Urban Science and Big Data Computing Technology. , 9 Challenges and Concerns -- 10 Discussion and Conclusion -- References -- 6 Smart Sustainable Urbanism: Paradigmatic, Scientific, Scholarly, Epistemic, and Discursive Shifts in Light of Big Data Science and Analytics -- Abstract -- 1 Introduction -- 2 Conceptual and Theoretical Background -- 2.1 Science and Philosophy -- 2.2 The Scientific Method -- 2.3 Hypothesis and Hypothesis Testing -- 2.4 Scientific Models -- 2.5 Scientific Theories -- 2.6 Scientific Laws -- 2.7 Theoretical Models -- 2.8 The Philosophy of Science -- 2.9 Paradigm and Paradigm Shift -- 2.10 Discourse: Concepts and Theories -- 2.10.1 Discourse -- 2.10.2 Academic Discourse -- 2.10.3 Discursive Truth -- 2.10.4 Power as a Productive and Constitutive Force -- 2.10.5 The Relationship Between Power, Knowledge, and Truth -- 2.10.6 Discursive and Social Practices -- 2.11 Epistemology, Episteme, Historical a Priori, and Their Interrelationships -- 3 Michel Foucault and Thomas Kuhn's Contribution to the Philosophy of Scientific Knowledge -- 4 Scientific, Paradigmatic, and Scholarly Shifts -- 4.1 On the Old and New Way of Doing Science -- 4.2 Data-Intensive Science as a Paradigmatic/Epistemological Shift and Its Underpinnings -- 4.3 The Data-Intensive Scientific Approach to Urban Sustainability Science and Related Wicked Problems -- 4.4 Building the New Urban Science and Establishing the Related Research Domain -- 4.4.1 Research Status -- 4.4.2 Challenges and Prospects -- 4.4.3 The Need for Recasting and Reforms -- 4.4.4 On the Data Avalanche and Its Potential -- 4.5 Urban Knowledge Discovery/Data Mining and Big Data Studies and Related Issues -- 5 Discursive, Epistemic, Historical a Priori, Institutional, Non-paradigmatic, Preparadigmatic, and Postparadigmatic Dimensions -- 5.1 Discursive Dimensions. , 5.1.1 On the Discursive Genesis of Smart Sustainable Cities as a Leading Paradigm of Urbanism -- 5.1.2 Discursive Hegemony -- 5.1.3 Discursive-Material Dialectics, Construal, and Construction -- 5.2 Historical a Priori, Epistemic, and Institutional Dimensions -- 5.3 Non-paradigmatic Aspects -- 5.4 Preparadigmatic and Postparadigmatic Aspects -- 5.5 Paradigm and Paradigm Shift in the Social Sciences -- 6 Discussion and Conclusion -- References -- 7 On the Sustainability and Unsustainability of Smart and Smarter Urbanism and Related Big Data Technology, Analytics, and Application -- Abstract -- 1 Introduction -- 2 Methodical-Topical Literature Review Methodology -- 2.1 Interdisciplinary and Transdisciplinary Approach -- 2.2 Hierarchical Search Strategy and Scholarly Sources -- 2.3 Selection Criteria: Inclusion and Exclusion -- 2.4 Combining Three Organizational Approaches -- 2.5 Purpose -- 3 Conceptual, Theoretical, and Discursive Foundations and Assumptions -- 3.1 Smart Cities -- 3.2 Smarter Cities and Other Single and Hybrid Faces -- 4 A Detailed Survey of Relevant Work: Issues, Debates, Gaps, Challenges, Opportunities, and Prospects -- 4.1 Smart and Smarter Cities -- 4.1.1 Research Strands from a General Perspective -- 4.1.2 Research Strands of Particular Relevance to the Topic of the Study -- The Inadequate Contribution of Smart Cities of Today to the Goals of Sustainable Development and Thus Their Poor Sustainability Performance -- Realizing the Tremendous Potential of Smart Cities of the Future for Advancing Sustainability -- Smarter Cities: Characteristic Features, Social Shaping Aspects, and Current Issues of and Future Potentials for Sustainability -- 4.2 Big Data Analytics and Its Application in Smart and Smarter Cities -- 4.2.1 Data Growth Projection -- 4.2.2 Research Issues and Future Prospects. , 4.2.3 The Deluge of Urban Data and Its Enabling Capabilities in City Analytics.